Package: pintervals
Type: Package
Title: Model Agnostic Prediction Intervals
Version: 1.3.2
Description: Provides tools for estimating model-agnostic prediction
        intervals using conformal prediction, bootstrapping, and
        parametric prediction intervals. The package is designed for
        ease of use, offering intuitive functions for both binned and
        full conformal prediction methods, as well as parametric
        interval estimation with diagnostic checks. Currently only
        working for continuous predictions. For details on the
        conformal and bin-conditional conformal prediction methods, see
        Randahl, Williams, and Hegre (2026)
        <DOI:10.1017/pan.2025.10010>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Authors@R: c(
    person("David", "Randahl", , "david.randahl@pcr.uu.se", role = c("aut", "cre")),
    person("Jonathan P.", "Williams", role = "ctb"),
    person("Anders", "Hjort", role = "ctb")
  )
Imports: dplyr, foreach, Hmisc, MASS, purrr, Rcpp, stats, tibble
RoxygenNote: 7.3.3
Depends: R (>= 3.5)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat, tidyr
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://doktorandahl.r-universe.dev
Date/Publication: 2026-09-08 13:35:06 UTC
RemoteUrl: https://github.com/doktorandahl/pintervals
RemoteRef: HEAD
RemoteSha: e0c5ad94f66944398da61ebdb13c4416588d162e
NeedsCompilation: yes
Packaged: 2026-10-08 11:04:10 UTC; root
Author: David Randahl [aut, cre],
  Jonathan P. Williams [ctb],
  Anders Hjort [ctb]
Maintainer: David Randahl <david.randahl@pcr.uu.se>